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Re:H3: Uber’s Hexagonal Hierarchical Spatial Index (2018) by kndjckt on Thursday July 18, 2019 @12:19AM (#20466659)
The critical advantage of h3 vs. s2 is that all neighbors are equidistant from the central cell. Also, the implementation of the projection means there is less distortion than s2.

I use this library every day and absolutely love it.

Re:H3: Uber’s Hexagonal Hierarchical Spatial Index (2018) by stefco_ on Thursday July 18, 2019 @05:43AM (#20468190)
This is the same reason astronomers like HEALPix tiling for skymaps [0]. Equal areas-per-pixel (important for integrating over areas) with straightforward spherical harmonics calculations and hierarchical extensions that can store images at multiple resolutions by subdividing base cells (LIGO uses one such hierarchical strategy for our low-latency gravitational wave source direction estimates [1]).

[0] https://healpix.sourceforge.io

[1] https://arxiv.org/abs/1508.03634

Re:H3: Uber’s Hexagonal Hierarchical Spatial Index (2018) by dpflan on Thursday July 18, 2019 @12:37AM (#20466749)
Thanks for sharing. What do you use it for? Did you use S2 previously?